Machine Learning with Python
Completed by Sebastián Miguel Barrozo Bruhn
November 14, 2019
20 hours (approximately)
Sebastián Miguel Barrozo Bruhn's account is verified. Coursera certifies their successful completion of Machine Learning with Python
What you will learn
Explain key concepts, tools, and roles involved in machine learning, including supervised and unsupervised learning techniques.
Apply core machine learning algorithms such as regression, classification, clustering, and dimensionality reduction using Python and scikit-learn.
Evaluate model performance using appropriate metrics, validation strategies, and optimization techniques.
Build and assess end-to-end machine learning solutions on real-world datasets through hands-on labs, projects, and practical evaluations.
Skills you will gain
- Category: Unsupervised Learning
- Category: Dimensionality Reduction
- Category: Python Programming
- Category: Classification Algorithms
- Category: Model Evaluation
- Category: Model Optimization
- Category: Machine Learning
- Category: Statistical Methods
- Category: Scikit Learn (Machine Learning Library)
- Category: Applied Machine Learning
- Category: Predictive Modeling
- Category: Supervised Learning
